Manufacturing resource outsourcing and matching: service mode selection and equilibrium evolution

Manufacturing resource outsourcing platforms facilitate the meeting and matching of manufacturing service seekers and providers. The platform’s service mode, the willingness of seekers to match, and providers’ carbon emission reduction (CER) directly affect entities’ decisions. Therefore, this paper employs an evolutionary game approach to analyse the manufacturing resource matching (MRM) between the providers and seekers and a sequential game model to analyse the pricing and CER strategies between the platform and providers. First, this study reveals that the service mode does not influence the evolutionary path and stability of MRM. However, matching in the cooperative mode becomes easier due to higher resource quantities. Second, we find that the cooperative mode can enhance the system’s profits, and an appropriate revenue-sharing ratio is crucial for the platform and providers. Third, the analysis indicates that while the cooperative model can generate higher profits, it may also result in increased total carbon emissions.

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Publication Details

Journal
Journal of the Operational Research Society
Published
2024-08-31
DOI
https://doi.org/10.1080/01605682.2024.2392797
Citations
3
Primary Topic
Supply Chain and Inventory Management
Type
article
Field-Weighted Citation Impact
1.59

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article

Manufacturing resource outsourcing and matching: service mode selection and equilibrium evolution

Yuangang Zheng, Hongguang Bo, Yifu Li, Shiqi He
3 citations
Journal of the Operational Research Society
Supply Chain and Inventory Management
1.59
article

Manufacturing resource outsourcing and matching: service mode selection and equilibrium evolution

Yuangang Zheng, Hongguang Bo, Yifu Li, Shiqi He
article en
3 citations

Abstract

Manufacturing resource outsourcing platforms facilitate the meeting and matching of manufacturing service seekers and providers. The platform’s service mode, the willingness of seekers to match, and providers’ carbon emission reduction (CER) directly affect entities’ decisions. Therefore, this paper employs an evolutionary game approach to analyse the manufacturing resource matching (MRM) between the providers and seekers and a sequential game model to analyse the pricing and CER strategies between the platform and providers. First, this study reveals that the service mode does not influence the evolutionary path and stability of MRM. However, matching in the cooperative mode becomes easier due to higher resource quantities. Second, we find that the cooperative mode can enhance the system’s profits, and an appropriate revenue-sharing ratio is crucial for the platform and providers. Third, the analysis indicates that while the cooperative model can generate higher profits, it may also result in increased total carbon emissions.

Journal of the Operational Research SocietyVol. 76(4)
University of Science and Technology of China (CN), Dalian University of Technology (CN)
National Natural Science Foundation of China, National Social Science Fund of China
Openalex Percentile: Top 13%
Supply Chain and Inventory Management
1.59
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